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Volume 143: Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany
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Editors: Mattias Heinrich, Qi Dou, Marleen de Bruijne, Jan Lellmann, Alexander Schläfer, Floris Ernst
Preface
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:1-4
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Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:5-21
Stroke Lesion Outcome Prediction Based on 4D CT Perfusion Data Using Temporal Convolutional Networks
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:22-33
Attention via Scattering Transforms for Segmentation of Small Intravascular Ultrasound Data Sets
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:34-47
An MRF-UNet Product of Experts for Image Segmentation
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:48-59
Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:60-73
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:74-104
Semantic similarity metrics for learned image registration
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:105-118
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:119-130
Improving MRI-based Knee Disorder Diagnosis with Pyramidal Feature Details
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:131-147
Intensity Correction and Standardization for Electron Microscopy Data
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:148-157
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:158-167
Tailoring automated data augmentation to H&E-stained histopathology
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:168-178
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:179-189
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:190-204
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:205-218
Direct Inference of Cell Positions using Lens-Free Microscopy and Deep Learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:219-227
Membership Inference Attacks on Deep Regression Models for Neuroimaging
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:228-251
Discrete Pseudohealthy Synthesis: Aortic Root Shape Typification and Type Classification with Pathological Prior
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:252-267
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising Model
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:268-285
The OOD Blind Spot of Unsupervised Anomaly Detection
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:286-300
CNN and Deep Sets for End-to-End Whole Slide Image Representation Learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:301-311
Whole-Body Soft-Tissue Lesion Tracking and Segmentation in Longitudinal CT Imaging Studies
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:312-326
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:327-337
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:338-353
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:354-368
Feature-based image registration in structured light endoscopy
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:369-383
Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:384-398
Embedding-based Instance Segmentation in Microscopy
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:399-415
Benefits of Linear Conditioning for Segmentation using Metadata
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:416-430
Improved model-based deep learning for quantitative susceptibility mapping
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:431-450
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:451-472
Distill DSM: Computationally efficient method for segmentation of medical imaging volumes
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:473-483
An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:484-496
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:497-506
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:507-519
EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:520-531
“Train one, Classify one, Teach one” - Cross-surgery transfer learning for surgical step recognition
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:532-544
GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:545-553
Balanced sampling for an object detection problem - application to fetal anatomies detection
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:554-566
Explainable Image Quality Analysis of Chest X-Rays
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:567-580
Localizing Neurosurgical Instruments Across Domains and in the Wild
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:581-595
Unsupervised Brain Anomaly Detection and Segmentation with Transformers
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:596-617
Residual learning for 3D motion corrected quantitative MRI: Robust clinical T1, T2 and proton density mapping
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:618-632
Image Sequence Generation and Analysis via GRU and Attention for Trachomatous Trichiasis Classification
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:633-644
Learning Diffeomorphic and Modality-invariant Registration using B-splines
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:645-664
Understanding and Visualizing Generalization in UNets
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:665-681
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:682-698
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:699-712
Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:713-727
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:728-744
A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:745-760
Learning the Latent Heat Diffusion Process through Structural Brain Network from Longitudinal $\beta$-Amyloid Data
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:761-773
Guided Filter Regularization for Improved Disentanglement of Shape and Appearance in Diffeomorphic Autoencoders
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:774-786
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:787-801
Untangling the Small Intestine in 3D cine-MRI using Deep Stochastic Tracking
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:802-812
Automated triaging of head MRI examinations using convolutional neural networks
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:813-841
A regularization term for slide correlation reduction in whole slide image analysis with deep learning
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:842-854
SWNet: Surgical Workflow Recognition with Deep Convolutional Network
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:855-869
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping
; Proceedings of the Fourth Conference on Medical Imaging with Deep Learning, PMLR 143:870-880
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